Model-Adaptive Tool Necessity Reveals the Knowing-Doing Gap in LLM Tool Use
Fuente:
arXiv
Saved in:
| Main Authors: | Cheng, Yize, Fan, Chenrui, JafariRaviz, Mahdi, Rezaei, Keivan, Feizi, Soheil |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Failing to Explore: Language Models on Interactive Tasks
by: JafariRaviz, Mahdi, et al.
Published: (2026)
by: JafariRaviz, Mahdi, et al.
Published: (2026)
Value Iteration with Guessing for Markov Chains and Markov Decision Processes
by: Chatterjee, Krishnendu, et al.
Published: (2025)
by: Chatterjee, Krishnendu, et al.
Published: (2025)
Schoenfeld's Anatomy of Mathematical Reasoning by Language Models
by: Li, Ming, et al.
Published: (2025)
by: Li, Ming, et al.
Published: (2025)
Online Advertisements with LLMs: Opportunities and Challenges
by: Feizi, Soheil, et al.
Published: (2023)
by: Feizi, Soheil, et al.
Published: (2023)
Tool Preferences in Agentic LLMs are Unreliable
by: Faghih, Kazem, et al.
Published: (2025)
by: Faghih, Kazem, et al.
Published: (2025)
Your LLM Agents are Temporally Blind: The Misalignment Between Tool Use Decisions and Human Time Perception
by: Cheng, Yize, et al.
Published: (2025)
by: Cheng, Yize, et al.
Published: (2025)
Do Agents Know What They Can't Do? Evaluating Feasibility Awareness in Tool-Using Agents
by: Cheng, Liang, et al.
Published: (2026)
by: Cheng, Liang, et al.
Published: (2026)
Matroid Algorithms Under Size-Sensitive Independence Oracles
by: Banihashem, Kiarash, et al.
Published: (2026)
by: Banihashem, Kiarash, et al.
Published: (2026)
Do LLMs Know Tool Irrelevance? Demystifying Structural Alignment Bias in Tool Invocations
by: Liu, Yilong, et al.
Published: (2026)
by: Liu, Yilong, et al.
Published: (2026)
SpecHop: Continuous Speculation for Accelerating Multi-Hop Retrieval Agents
by: Saberi, Mehrdad, et al.
Published: (2026)
by: Saberi, Mehrdad, et al.
Published: (2026)
Epistemic Artificial Intelligence is Essential for Machine Learning Models to Truly 'Know When They Do Not Know'
by: Manchingal, Shireen Kudukkil, et al.
Published: (2025)
by: Manchingal, Shireen Kudukkil, et al.
Published: (2025)
Early Stopping for Large Reasoning Models via Confidence Dynamics
by: Hosseini, Parsa, et al.
Published: (2026)
by: Hosseini, Parsa, et al.
Published: (2026)
Off-the-Shelf LLMs as Process Scorers: Training-Free Alternative to PRMs for Mathematical Reasoning
by: Chegini, Atoosa, et al.
Published: (2026)
by: Chegini, Atoosa, et al.
Published: (2026)
Learning to Rewrite Tool Descriptions for Reliable LLM-Agent Tool Use
by: Guo, Ruocheng, et al.
Published: (2026)
by: Guo, Ruocheng, et al.
Published: (2026)
Are Tools All We Need? Unveiling the Tool-Use Tax in LLM Agents
by: Zhang, Kaituo, et al.
Published: (2026)
by: Zhang, Kaituo, et al.
Published: (2026)
Case-Based Calibration of Adaptive Reasoning and Execution for LLM Tool Use
by: Pang, Renning, et al.
Published: (2026)
by: Pang, Renning, et al.
Published: (2026)
Tool-Augmented Policy Optimization: Synergizing Reasoning and Adaptive Tool Use with Reinforcement Learning
by: Wu, Wenxun, et al.
Published: (2025)
by: Wu, Wenxun, et al.
Published: (2025)
Revisiting the Past: Data Unlearning with Model State History
by: Rezaei, Keivan, et al.
Published: (2025)
by: Rezaei, Keivan, et al.
Published: (2025)
UniToolCall: Unifying Tool-Use Representation, Data, and Evaluation for LLM Agents
by: Liang, Yijuan, et al.
Published: (2026)
by: Liang, Yijuan, et al.
Published: (2026)
FinToolBench: Evaluating LLM Agents for Real-World Financial Tool Use
by: Lu, Jiaxuan, et al.
Published: (2026)
by: Lu, Jiaxuan, et al.
Published: (2026)
How Bad Is Forming Your Own Multidimensional Opinion?
by: Banihashem, Kiarash, et al.
Published: (2025)
by: Banihashem, Kiarash, et al.
Published: (2025)
Chain-of-Defensive-Thought: Structured Reasoning Elicits Robustness in Large Language Models against Reference Corruption
by: Wang, Wenxiao, et al.
Published: (2025)
by: Wang, Wenxiao, et al.
Published: (2025)
Almost AI, Almost Human: The Challenge of Detecting AI-Polished Writing
by: Saha, Shoumik, et al.
Published: (2025)
by: Saha, Shoumik, et al.
Published: (2025)
Under the Hood of SKILL.md: Semantic Supply-chain Attacks on AI Agent Skill Registry
by: Saha, Shoumik, et al.
Published: (2026)
by: Saha, Shoumik, et al.
Published: (2026)
ToolRM: Towards Agentic Tool-Use Reward Modeling
by: Li, Renhao, et al.
Published: (2025)
by: Li, Renhao, et al.
Published: (2025)
Utility-Guided Agent Orchestration for Efficient LLM Tool Use
by: Liu, Boyan, et al.
Published: (2026)
by: Liu, Boyan, et al.
Published: (2026)
Adaptive Tool Use in Large Language Models with Meta-Cognition Trigger
by: Li, Wenjun, et al.
Published: (2025)
by: Li, Wenjun, et al.
Published: (2025)
Benchmarking LLM Tool-Use in the Wild
by: Yu, Peijie, et al.
Published: (2026)
by: Yu, Peijie, et al.
Published: (2026)
Networked Information Aggregation for Binary Classification
by: Bateni, MohammadHossein, et al.
Published: (2026)
by: Bateni, MohammadHossein, et al.
Published: (2026)
A Closer Look at Bias and Chain-of-Thought Faithfulness of Large (Vision) Language Models
by: Balasubramanian, Sriram, et al.
Published: (2025)
by: Balasubramanian, Sriram, et al.
Published: (2025)
PRIME: Prioritizing Interpretability in Failure Mode Extraction
by: Rezaei, Keivan, et al.
Published: (2023)
by: Rezaei, Keivan, et al.
Published: (2023)
Attacker's Noise Can Manipulate Your Audio-based LLM in the Real World
by: Sadasivan, Vinu Sankar, et al.
Published: (2025)
by: Sadasivan, Vinu Sankar, et al.
Published: (2025)
TIDE-Bench: Task-Aware and Diagnostic Evaluation of Tool-Integrated Reasoning
by: Li, Yize, et al.
Published: (2026)
by: Li, Yize, et al.
Published: (2026)
ToolCritic: Detecting and Correcting Tool-Use Errors in Dialogue Systems
by: Hamad, Hassan, et al.
Published: (2025)
by: Hamad, Hassan, et al.
Published: (2025)
Tool-as-Interface: Learning Robot Policies from Observing Human Tool Use
by: Chen, Haonan, et al.
Published: (2025)
by: Chen, Haonan, et al.
Published: (2025)
Maestro: Joint Graph & Config Optimization for Reliable AI Agents
by: Wang, Wenxiao, et al.
Published: (2025)
by: Wang, Wenxiao, et al.
Published: (2025)
The Use of AI Tools to Develop and Validate Q-Matrices
by: Fan, Kevin, et al.
Published: (2026)
by: Fan, Kevin, et al.
Published: (2026)
What Deserves Memory: Adaptive Memory Distillation for LLM Agents
by: Ma, Wenquan, et al.
Published: (2025)
by: Ma, Wenquan, et al.
Published: (2025)
Guided by Trajectories: Repairing and Rewarding Tool-Use Trajectories for Tool-Integrated Reasoning
by: Gong, Siyu, et al.
Published: (2026)
by: Gong, Siyu, et al.
Published: (2026)
ToolScope: An Agentic Framework for Vision-Guided and Long-Horizon Tool Use
by: Deng, Mengjie, et al.
Published: (2025)
by: Deng, Mengjie, et al.
Published: (2025)
Similar Items
-
Failing to Explore: Language Models on Interactive Tasks
by: JafariRaviz, Mahdi, et al.
Published: (2026) -
Value Iteration with Guessing for Markov Chains and Markov Decision Processes
by: Chatterjee, Krishnendu, et al.
Published: (2025) -
Schoenfeld's Anatomy of Mathematical Reasoning by Language Models
by: Li, Ming, et al.
Published: (2025) -
Online Advertisements with LLMs: Opportunities and Challenges
by: Feizi, Soheil, et al.
Published: (2023) -
Tool Preferences in Agentic LLMs are Unreliable
by: Faghih, Kazem, et al.
Published: (2025)